Nobiletin Attenuates Pathological Cardiac Remodeling after Myocardial Infarction via Activating PPARγ and PGC1α by Yufei Zhou, Ting Yin, Mengsha Shi, Mengli Chen, Xiaodong Wu, Kai Wang, Iokfai Cheang, Yanxiu Li, Hongcai Shang, Haifeng Zhang, Xinli Li

“…Cardiac function (echocardiography, survival rate, Evans blue, and triphenyl tetrazolium chloride staining), fibrosis (Masson’s trichrome staining, quantitative real-time polymerase chain reaction (qRT-PCR), and western blot (WB)), hypertrophy (haematoxylin-eosin staining, wheat germ agglutinin staining, and qRT-PCR), and apoptosis (WB and terminal deoxynucleotidyl transferase dUTP nick-end labelling (TUNEL) staining) were evaluated. Hypoxia-induced apoptosis (TUNEL, WB) and phenylephrine- (PE-) induced pathological hypertrophy (immunofluorescence staining, qRT-PCR) models were established in primary neonatal rat ventricular myocytes (NRVMs). …”
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Towards a common approach for managing food allergy and serious allergic reactions (anaphylaxis) at school. GA2LEN and EFA consensus statement by Antoine Deschildre, Montserrat Alvaro‐Lozano, Antonella Muraro, Marcia Podesta, Debra deSilva, Mattia Giovannini, Simona Barni, Timothy E. Dribin, Mónica Sandoval‐Ruballos, Aikaterini Anagnostou, Alessandro Fiocchi, Alice Toniolo, Andrew Bird, Angel Sánchez Sanz, Anna Asarnoj, Anna Nowak‐Wegrzyn, Berber Vlieg‐Boerstra, Brian P. Vickery, Carina Venter, Caroline Nilsson, Cecilia Parente, Céline Demoulin, David M. Fleischer, Diola Bijlhout, Edward F. Knol, Eleanor Garrow, Emma E. Cook, Fallon Schultz, Francesca Lazzarotto, Francesca Mori, Gary Wong, Gideon Lack, Graham Roberts, Gustavo Andres Marino, H. N. G. Oude Elberink, Helen A. Brough, Hugh A. Sampson, Jay Lieberman, Jennifer Gerdts, Jing Zhao, Josefine Gradman, Julia E. M. Upton, Julie Wang, Kati Palosuo, Kirsi M. Järvinen, Kirsten Beyer, Kunling Shen, Laura Polloni, Lianne Mandelbaum, Luciana Kase Tanno, Lucy A. Bilaver, Marcus S. Shaker, Margitta Worm, Maria Said, Mary Kelly, Mary Jane Marchisotto, Michael Makris, Mikaela Odemyr, Montserrat Fernandez‐Rivas, Motohiro Ebisawa, Nandinee Patel, Pablo Rodríguez del Río, Pakit Vichyanond, Paul Turner, Pete Smith, Pilar Morón Gaspar, R. Sharon Chinthrajah, Rima Rachid, Roberta Bonaguro, Ruchi Gupta, Sabine Schnadt, Sakura Sato, Stefania Arasi, Stephanie Leonard, Sung Poblete, Susanne Halken, Thuy‐My Le, Guillaume Pouessel, Tracey Dunn, Victoria Cardona, Torsten Zuberbier

“…We built shared expectations around: 1. training all school staff about what food allergy is, the symptoms of allergic reactions, what to do in an emergency, and when and how to use and store devices that laypeople can use to administer adrenaline (epinephrine). 2. preventing allergic reactions by using clear labelling on school menus and prepacked and non‐prepacked foods and regular cleaning where students eat. 3. preparing for serious allergic reactions, with written emergency action plans for every student with food allergies, legislation allowing schools to store adrenaline for anyone who needs it in an emergency (not just those prescribed it), and training and legal safeguards for staff administering adrenaline. 4. including affected students by discussing food allergy in the curriculum, raising awareness among all students and caregivers and reviewing school processes regularly. …”
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Level-8 Ph.D. Programs In Medical Sciences: High Time For The Higher Education Commission (HEC) Of Pakistan To Establish A Medical Wing by Wafa Omer

“…A physician cannot be asked to opt out of clinical setups and hospitals upon completion of a PhD degree labelling it as an academic or research degree because the doctors who are opting for this level-8 degree are primarily physicians and they cannot be detached from the clinical environment. …”
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A Decision-Making Model for Deterring Food Vendors from Selling Harmless Low-Quality Foods as High-Quality Foods to Consumers by Po-Yu Chen

“…For certain types of foods, food vendors often label low-quality foods that are harmless to human health as foods of excellent quality and sell these falsely labeled products to consumers. …”
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A Novel Approach for Cyclic Decompositions of Balanced Complete Bipartite Graphs into Infinite Graph Classes by A. El-Mesady, Omar Bazighifan, S. S. Askar

“…In the present paper, we propose a technique for labeling the vertices of a bipartite graph G with n edges, called orthogonal labeling, to yield cyclic decompositions of balanced complete bipartite graphs Kn,n by the graph G. …”
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A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks by Fei Gao, Teng Huang, Jinping Sun, Amir Hussain, Erfu Yang, Huiyu Zhou

“…Then, a labeling method based on clustering information (LCI) is designed to label the unlabeled samples. …”
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A problem-agnostic approach to feature selection and analysis using SHAP by John T. Hancock, Taghi M. Khoshgoftaar, Qianxin Liang

“…When no labeled data is available, unsupervised learners should be used. …”
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Structure Properties of Koch Networks Based on Networks Dynamical Systems by Yinhu Zhai, Jia-Bao Liu, Shaohui Wang

“…We introduce an informative labeling algorithm for the vertices of a family of Koch networks. …”
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UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification by Zeyu Ren, Xiangyu Kong, Yudong Zhang, Shuihua Wang

“…However, obtaining ground truth labels for unlabeled medical images is challenging as they often outnumber labeled images. …”
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New Paraquat Requirements by Frederick M. Fishel

“…This document will present an overview of the new label revisions. …”
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New Paraquat Requirements by Frederick M. Fishel

“…This document will present an overview of the new label revisions. …”
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Frequency Assignment Model of Zero Divisor Graph by R. Radha, N. Mohamed Rilwan

“…Given a frequency assignment network model is a zero divisor graph Γ=V,E of commutative ring Rη, in this model, each node is considered to be a channel and their labelings are said to be the frequencies, which are assigned by the L2,1 and L3,2,1 labeling constraints. …”
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New Results on the (Super) Edge-Magic Deficiency of Chain Graphs by Ngurah Anak Agung Gede, Adiwijaya

“…An edge-magic labeling f of G with f(V(G))={1,2,3,…,v} is called a super edge-magic labeling. …”
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Quantum Dots Do Not Alter the Differentiation Potential of Pancreatic Stem Cells and Are Distributed Randomly among Daughter Cells by S. Danner, H. Benzin, T. Vollbrandt, J. Oder, A. Richter, C. Kruse

“…With the increasing relevance of cell-based therapies, there is a demand for cell-labeling techniques for in vitro and in vivo studies. …”
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Resonant Frequency Modeling of Microwave Antennas Using Gaussian Process Based on Semisupervised Learning by Jing Gao, Yubo Tian, Xie Zheng, Xuezhi Chen

“…Traditional machine learning methods usually use only labeled samples or unlabeled samples, but in practical problems, labeled samples and unlabeled samples coexist, and the acquisition cost of labeled samples is relatively high. …”
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Systematic literature review on Calcium Pyrophosphate Deposition (CPPD) nomenclature: condition elements and clinical states— A Gout, Hyperuricaemia and Crystal-Associated Disease... by Georgios Filippou, Antonella Adinolfi, Emilio Filippucci, Nicola Dalbeth, Robert Terkeltaub, Tristan Pascart, Edoardo Cipolletta, Silvia Sirotti, Charlotte Jauffret, Sara Tedeschi, Daniele Cirillo, Luca Ingrao, Alessandro Lucia

“…CPPD clinical phenotypes were often described as ‘pseudo-form’ labels.Conclusion Those results demonstrate the heterogeneity of labels used to describe CPPD condition concepts, with wide variation in condition labels in the medical literature. …”
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BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images by Kai Wang, Zhongle Ren, Biao Hou, Weibin Li, Licheng Jiao

“…Then, a morphological pseudo-label optimization algorithm is designed to employ CAMs to generate high-quality pseudo-labels. …”
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A Semi-supervised Deep Learning Method for Cervical Cell Classification by Siqi Zhao, Yongjun He, Jian Qin, Zixuan Wang

“…However, cervical cell labeling requires specialized physicians and the cost of labeling is high, resulting in a lack of sufficient labeling data in this field. …”
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